Molecular profiling of ex vivo prostate cancer CAF models captures stromal heterogeneity and drug vulnerabilities

Cancer-associated fibroblasts (CAFs) are central architects of the prostate cancer (PCa) microenvironment, yet their phenotypic diversity and druggable vulnerabilities remain largely uncharted. Here, we present an integrative multi-omics characterization of primary ex vivo CAFs from seven treatment-naïve PCa patients. Using single-cell RNA sequencing (scRNA-seq), we uncover substantial transcriptional heterogeneity among CAFs, with distinct gene expression programs related to extracellular matrix remodeling, inflammation, immune modulation, and metabolic reprogramming. This phenotypic diversity was further supported by variable expression of canonical stromal markers, including FAP, SULF1, VIM, CAV1, and αSMA. Transcription factor network analysis revealed SOX, FOX, and STAT3 family members as key regulators of pro-tumorigenic CAF states. To probe therapeutic vulnerabilities, we performed high-throughput drug sensitivity and resistance testing (DSRT) across 396 oncology compounds. CAFs exhibited broad sensitivity to multikinase inhibitors, with dasatinib, midostaurin, and FGFR inhibitors (AZD4547, erdafitinib) emerging as top stromal-directed candidates. These findings underscore the plasticity of prostate CAFs and reveal actionable vulnerabilities, supporting the development of targeted stromal therapies to disrupt tumor-stroma interactions in PCa.

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Publication Details

Journal
Cell Death Discovery
Published
2025-11-06
DOI
https://doi.org/10.1038/s41420-025-02792-3
Citations
3
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
4.56

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article

Molecular profiling of ex vivo prostate cancer CAF models captures stromal heterogeneity and drug vulnerabilities

Mariliina Arjama, Katja Välimäki, Daniela Ungureanu, Teijo Pellinen et al.
3 citations
Cell Death Discovery
Prostate Cancer Treatment and Research
4.56
article

Molecular profiling of ex vivo prostate cancer CAF models captures stromal heterogeneity and drug vulnerabilities

Mariliina Arjama, Katja Välimäki, Daniela Ungureanu, Teijo Pellinen, Astrid Murumägi, Antti Rannikko, Tuomas Mirtti, Olli Kallioniemi, Frida Rantanen, Elina Multamäki
article en
3 citations

Abstract

Cancer-associated fibroblasts (CAFs) are central architects of the prostate cancer (PCa) microenvironment, yet their phenotypic diversity and druggable vulnerabilities remain largely uncharted. Here, we present an integrative multi-omics characterization of primary ex vivo CAFs from seven treatment-naïve PCa patients. Using single-cell RNA sequencing (scRNA-seq), we uncover substantial transcriptional heterogeneity among CAFs, with distinct gene expression programs related to extracellular matrix remodeling, inflammation, immune modulation, and metabolic reprogramming. This phenotypic diversity was further supported by variable expression of canonical stromal markers, including FAP, SULF1, VIM, CAV1, and αSMA. Transcription factor network analysis revealed SOX, FOX, and STAT3 family members as key regulators of pro-tumorigenic CAF states. To probe therapeutic vulnerabilities, we performed high-throughput drug sensitivity and resistance testing (DSRT) across 396 oncology compounds. CAFs exhibited broad sensitivity to multikinase inhibitors, with dasatinib, midostaurin, and FGFR inhibitors (AZD4547, erdafitinib) emerging as top stromal-directed candidates. These findings underscore the plasticity of prostate CAFs and reveal actionable vulnerabilities, supporting the development of targeted stromal therapies to disrupt tumor-stroma interactions in PCa.

Cell Death DiscoveryVol. 11(1)
University of Helsinki (FI), Science for Life Laboratory (SE), Helsinki University Hospital (FI), Institute for Molecular Medicine Finland (FI), Hospital District of Helsinki and Uusimaa (FI), University of Oulu (FI)
China Scholarship Council, Sigrid Juséliuksen Säätiö, Syöpäsäätiö, Biocenter Finland, Helsinki Institute of Life Science, Helsingin Yliopisto
Openalex Percentile: Top 5%
Prostate Cancer Treatment and Research
4.56
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